Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …

Mobile-edge computing (MEC) has been witnessed as a promising solution for the vehicular
task offloading. Due to the limited computing resource of individual MEC servers, it faces …

The emergence of computation-intensive and delay-sensitive vehicular applications poses a
great challenge for individual vehicles with limited computation resources. Mobile edge …

Internet of Vehicles (IoV) has attracted global research interests across extensive
applications. Due to the significant increase in the number of vehicles accessing the Internet …

With the widespread application of infotainment services in intelligent connected vehicles
(ICVs), network traffic has grown exponentially, bringing huge burden and energy …

As important services of the future sixth-generation (6G) wireless networks, vehicular
communication and mobile edge computing (MEC) have received considerable interest in …

The smart vehicles construct Internet of Vehicle (IoV), which can execute various intelligent
services. Although the computation capability of a vehicle is limited, multi-type of edge …

Vehicular networks are facing the challenges to support ubiquitous connections and high
quality of service for numerous vehicles. To address these issues, mobile edge computing …

The development of autonomous driving poses significant demands on computing resource,
which is challenging to resource-constrained vehicles. To alleviate the issue, Vehicular …

In a vehicular edge computing (VEC) system, some vehicles with surplus computing
resources can provide computation task offloading opportunities for other vehicles or …